Neural Network
We are building a trading algorithm modeled after the structure and function of a human brain to execute crypto trades for you.
How Does a Neural Network Work?
A Neural Network is a type of algorithm used in machine learning that is designed to recognize patterns and relationships in data. It is based on the structure and function of the human brain and consists of layers of interconnected nodes that process information.
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Neural Networks can be used to make precise trade decisions based on thoroughly examined data. We are building a neural network for the Defi space to serve as the first decentralized crypto hedge fund.
Our AI-driven trading algorithm is composed of 5 layers to continuously execute cryptocurrency trades across multiple digital assets.
Layer 1
Realtime API
At the input layer, the network receives data through Realtime API feed that provides our team with market data every second. The data is then passed through a series of hidden layers that apply mathematical functions to extract information.
Layer 2
Decision Layer
Machine learning algorithm with over 35 variables and continuous assessment of correlation with market moves within ETH and BTC.
Layer 3
Continuous Adjustment
Continuous and periodical adjustment of the model done by our team of quants analysts. In phase 3 of our project, this process will be done autonomously by Athena, our AI neural network, to learn from her mistakes and improve its accuracy.
Layer 4
Cloud Based Server
Our global decentralized servers provide us with an edge, ensuring uninterrupted uptime.
Layer 5
Trade Execution
The output layer produces the final recommendations for a cryptocurrency trade and executes long and short positions on various decentralized derivative exchanges on the Ethereum blockchain.
